class_docstr: Targeted maximum likelihood estimation.
  
  Ref: Gruber, S., & Van Der Laan, M. J. (2009). Targeted maximum likelihood estimation: A gentle introduction.
class_docstr_tok: ["Targeted","maximum","likelihood","estimation",".","Ref",":","Gruber",",","S.",",","&","Van","Der","Laan",",","M.","J",".","(","2009",")",".","Targeted","maximum","likelihood","estimation",":","A","gentle","introduction","."]
code: def __repr__(self):
      return "{}(model={}, cv={})".format(
          self.__class__.__name__, self.model_tau.__repr__(), self.cv
      )
  
file_path: causalml/causalml/inference/meta/tmle.py
imports: import logging
  import numpy
  import pandas
  from scipy.optimize import minimize
  from scipy.special import expit, logit
  from scipy.stats import norm
  from sklearn.preprocessing import MinMaxScaler
  from causalml.inference.meta.utils import check_treatment_vector, check_p_conditions, convert_pd_to_np
  from causalml.propensity import calibrate
label_desc: Use image node_id 2 for calling the TMLELearner obj's underlying member method code with example usage: obj.__repr__() and returns: str